# Copyright 2022 PaddleFSL Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import paddle
from paddlefsl.backbones import MatchingNet


def MatchingNet_test():
    train_input = paddle.ones(shape=(5 * (16 + 1), 1600), dtype='float32')  # 5: 5 ways
    model = MatchingNet(5, 1, 16, feat_dim=1600)
    print(model(train_input))   # Tensor of shape [80, 5]


if __name__ == '__main__':
    MatchingNet_test()
